Quantum Machine Learning and PennyLane by Maria Schuld | QWorld

Welcome to QWorld’s webinar series! We are excited to host Maria Schuld, a senior lecturer and fractional researcher at the University of KwaZulu-Natal and a researcher at Xanadu. During the QWebinar, Maria highlights different aspects of “variational quantum machine learning algorithms”, including their role in the development of near-term quantum technologies, their interpretation as a cross-breed of neural networks and support vector machines, and strategies of fitting the quantum model to data. As a practical implementation, she shows how to use the open-source software framework “PennyLane” to integrate quantum circuits with machine learning libraries such as PyTorch and Tensorflow. In addition to a great lecture, we especially invite you to listen to the Q&A session! In this part of the QWebinar, we are grateful that our guest answers all participants’ questions. QWorld is a global network of individuals, groups, and communities collaborating on education and implementation of quantum technologies a